PER90

Championship · England

MiddlesbroughvWest Bromwich Albion

Riverside Stadiumlineups not announced

Referee

Not appointed

0 matches on record

Fouls per game

League average

23.2

fouls per match, both teams

Value

No edges published on this fixture. An edge is published only when a bookmaker's price beats the model's fair price by that market's full bar — most fixtures never produce one. The value board explains every gate a candidate has to clear.

What these numbers are

Not tips and not prices. Each row is the model's expected count for one player in this match — how many fouls, tackles or shots it thinks he records — plus the full spread of outcomes around it. Nothing here has been compared to a bookmaker.

  1. Step 1

    His own record

    Every completed match in the dataset, as a rate per 90 minutes. The n column is how many matches that rests on.

  2. Step 2

    Pulled toward his position

    A thin record gets pulled hard toward other players in his position, in his league — a goalkeeper toward goalkeepers, not toward the outfielders around him. How hard is fitted per market, not chosen: tackles pull about four times harder than shots on target.

  3. Step 3

    This fixture's conditions

    How much of the stat the opponent concedes, what the referee's matches look like, and home or away. This is where a projection stops being a season average.

  4. Step 4

    Scaled to expected minutes

    A rate becomes a count only once you say how long he plays. 60 minutes carries two-thirds the exposure of 90, and the distribution is built at that exposure.

How to read each column
Model /90
The model's rate for this match with the minutes taken back out — steps 1 to 3 already applied. It moves with the opponent and the referee, so it is not his raw career rate; the builder shows career and model rates side by side.
Exp. mins
Minutes the model expects. Confirmed means the lineup is out; provisional means it is guessing from his start rate, and is the widest of the three.
Projected
The expected count in this match, at those minutes. This is the number a line is set against.
Over 1.5, etc.
Read straight off the distribution beside it, not off how often he has beaten that line before. It answers what the model thinks, not what has happened.
n
Matches behind his own rate. Under 30 it turns amber: the projection is mostly his position group speaking, and §6.3 will not publish an edge on it.
Distribution
The whole spread, not just the average. The dashed amber cut is the line; jade bars beat it. An expected 1.8 fouls made of 2 every week and an expected 1.8 made of a 0 and a 5 are different bets, and this is where you see which one you have.

Counts are modelled as negative binomial rather than Poisson, because fouls and tackles are overdispersed and a Poisson would systematically underprice the tails — which is exactly where over bets live. Every market on this page cleared its calibration gate before it was allowed to produce a projection: when the model says 60%, it lands within a point or so of 60% out of sample.

Fouls v20260815-1512 · Tackles v20260815-1512 · Shots v20260815-1512 · Fouls won v20260815-1512 · Cards v20260815-1512 · Saves v20260815-1512

Model projections

Fouls42 playersHighest: Aune Heggebø, 1.46 expectedshow

What drives it Who referees the match. A strict official lifts every player on the pitch, which is the part most books price off a season average. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Aune HeggebøFWDWest Bromwich Albion1.9169provisional1.4642%39
027%
131%
222%
312%
45%
52%
6+1%
Jayson MolumbyMIDWest Bromwich Albion1.3675provisional1.1331%66
035%
134%
219%
38%
43%
51%
6+0%
Callum StylesDEFWest Bromwich Albion1.2580provisional1.1130%72
035%
134%
219%
38%
42%
51%
6+0%
Aidan MorrisMIDMiddlesbrough1.0782provisional0.9726%74
039%
135%
218%
36%
42%
5+0%
Krystian BielikDEFWest Bromwich Albion1.5155provisional0.9325%12
045%
130%
216%
36%
42%
51%
6+0%
Callum BrittainDEFMiddlesbrough0.8989provisional0.8822%44
042%
136%
216%
35%
41%
5+0%
Adilson MalandaDEFMiddlesbrough0.8689provisional0.8521%24
043%
136%
215%
34%
41%
5+0%
George CampbellDEFWest Bromwich Albion0.9579provisional0.8421%36
045%
134%
215%
35%
41%
5+0%
Chris MephamDEFWest Bromwich Albion0.9477provisional0.8120%22
047%
133%
214%
34%
41%
5+0%
Neto BorgesDEFMiddlesbrough0.9477provisional0.8020%34
047%
133%
214%
34%
41%
5+0%

10 of 42 players shown, ranked by projection. Show all 42 →

Tackles42 playersHighest: Aidan Morris, 1.60 expectedshow

What drives it Possession share. A tackle count depends far more on how much of the match is played at your own end than on a player’s own form. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Aidan MorrisMIDMiddlesbrough1.7482provisional1.6045%74
025%
130%
222%
313%
46%
53%
6+1%
Luke AylingDEFMiddlesbrough1.6580provisional1.4641%66
028%
130%
221%
311%
45%
52%
6+1%
Callum StylesDEFWest Bromwich Albion1.5580provisional1.3738%72
030%
131%
221%
311%
45%
52%
6+1%
Isaac PriceMIDWest Bromwich Albion1.3477provisional1.1532%56
035%
133%
219%
38%
43%
51%
6+0%
Alfie JonesDEFMiddlesbrough1.0886provisional1.0328%21
038%
135%
218%
37%
42%
51%
6+0%
Torbjørn HeggemDEFWest Bromwich Albion1.0489provisional1.0327%46
038%
135%
218%
37%
42%
51%
6+0%
Callum BrittainDEFMiddlesbrough1.0289provisional1.0127%44
039%
135%
217%
37%
42%
51%
6+0%
Neto BorgesDEFMiddlesbrough1.1477provisional0.9726%34
042%
132%
216%
36%
42%
51%
6+0%
Nat PhillipsDEFWest Bromwich Albion0.9787provisional0.9424%40
041%
135%
216%
36%
42%
50%
6+0%
George CampbellDEFWest Bromwich Albion1.0779provisional0.9424%36
043%
133%
216%
36%
42%
51%
6+0%

10 of 42 players shown, ranked by projection. Show all 42 →

Shots42 playersHighest: Finn Azaz, 2.49 expectedshow

What drives it The player’s own shot rate, shrunk toward others in his position, then adjusted for how many shots the opponent concedes. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Finn AzazMIDMiddlesbrough2.8878provisional2.4968%44
012%
121%
223%
319%
413%
57%
6+6%
Morgan WhittakerFWDMiddlesbrough3.1768provisional2.3963%49
016%
121%
221%
317%
412%
57%
6+6%
Tommy ConwayFWDMiddlesbrough2.1373provisional1.7350%72
022%
128%
223%
314%
47%
53%
6+2%
David StrelecFWDMiddlesbrough2.3259provisional1.5343%30
027%
130%
222%
312%
46%
52%
6+1%
Riley McGreeMIDMiddlesbrough2.2860provisional1.5143%33
028%
130%
221%
312%
46%
52%
6+1%
Isaac PriceMIDWest Bromwich Albion1.7077provisional1.4642%56
026%
132%
223%
312%
45%
52%
6+1%
Mikey JohnstonFWDWest Bromwich Albion2.1759provisional1.4340%53
031%
129%
220%
311%
45%
52%
6+1%
Aune HeggebøFWDWest Bromwich Albion1.6769provisional1.2836%39
032%
132%
220%
310%
44%
51%
6+1%
Aidan MorrisMIDMiddlesbrough1.2682provisional1.1532%74
034%
134%
220%
38%
43%
51%
6+0%
Leo CastledineMIDMiddlesbrough3.5429provisional1.1428%5
038%
133%
216%
36%
43%
51%
6+2%

10 of 42 players shown, ranked by projection. Show all 42 →

Fouls won42 playersHighest: Aidan Morris, 2.04 expectedshow

What drives it How much a player runs at defenders. Dribble volume drives this far more than the referee does. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 1.5nDistribution
Aidan MorrisMIDMiddlesbrough2.2382provisional2.0458%74
016%
126%
224%
317%
410%
54%
6+3%
Morgan WhittakerFWDMiddlesbrough1.5068provisional1.1331%49
036%
132%
219%
38%
43%
51%
6+0%
Luke AylingDEFMiddlesbrough1.2180provisional1.0829%66
037%
134%
219%
37%
42%
51%
6+0%
Tommy ConwayFWDMiddlesbrough1.3173provisional1.0629%72
038%
133%
218%
37%
42%
51%
6+0%
Alex MowattMIDWest Bromwich Albion1.2875provisional1.0629%74
038%
133%
218%
37%
42%
51%
6+0%
Jayson MolumbyMIDWest Bromwich Albion1.2475provisional1.0328%66
039%
134%
218%
37%
42%
51%
6+0%
Aune HeggebøFWDWest Bromwich Albion1.3069provisional0.9927%39
040%
133%
217%
37%
42%
51%
6+0%
Finn AzazMIDMiddlesbrough1.1478provisional0.9926%44
039%
135%
217%
36%
42%
50%
6+0%
Alex BanguraDEFMiddlesbrough1.9742provisional0.9225%7
046%
129%
215%
36%
42%
51%
6+0%
Tom FellowsMIDWest Bromwich Albion1.2665provisional0.9124%40
043%
133%
216%
36%
42%
50%
6+0%
Sam SilveraFWDMiddlesbrough1.7547provisional0.9123%14
045%
132%
214%
36%
42%
51%
6+0%
Callum StylesDEFWest Bromwich Albion0.9580provisional0.8421%72
045%
134%
215%
35%
41%
5+0%
Ousmane DiakitéMIDWest Bromwich Albion1.2456provisional0.7720%37
052%
128%
213%
35%
42%
50%
6+0%
Neto BorgesDEFMiddlesbrough0.9077provisional0.7719%34
049%
133%
213%
34%
41%
5+0%
Josh MajaFWDWest Bromwich Albion1.2055provisional0.7318%44
053%
130%
212%
34%
41%
5+0%
Isaac PriceMIDWest Bromwich Albion0.8477provisional0.7317%56
050%
133%
213%
33%
41%
5+0%
Riley McGreeMIDMiddlesbrough1.0360provisional0.6916%33
053%
131%
212%
33%
41%
5+0%
Jamaldeen Jimoh-AlobaMIDWest Bromwich Albion1.6335provisional0.6415%4
059%
126%
210%
34%
41%
5+0%
George CampbellDEFWest Bromwich Albion0.7079provisional0.6213%36
055%
131%
210%
33%
4+1%
Sontje HansenFWDMiddlesbrough2.0627provisional0.6113%8
058%
129%
29%
33%
41%
5+0%
Callum BrittainDEFMiddlesbrough0.6089provisional0.6012%44
056%
132%
210%
32%
4+0%
Leo CastledineMIDMiddlesbrough1.7729provisional0.5712%5
060%
128%
28%
32%
41%
50%
6+0%
Mikey JohnstonFWDWest Bromwich Albion0.8659provisional0.5612%53
059%
129%
29%
32%
4+1%
Alfie GilchristDEFWest Bromwich Albion0.8751provisional0.4910%10
063%
127%
28%
32%
4+0%
Jeremy SarmientoFWDMiddlesbrough1.5728provisional0.4910%8
065%
125%
27%
32%
41%
5+0%
Daryl Enyinnaya DikeFWDWest Bromwich Albion1.6027provisional0.4810%8
067%
123%
27%
32%
41%
5+0%
George EdmundsonDEFMiddlesbrough0.5575provisional0.468%26
064%
128%
27%
31%
4+0%
Nat PhillipsDEFWest Bromwich Albion0.4387provisional0.427%40
066%
127%
26%
31%
4+0%
Sverre NypanMIDMiddlesbrough1.2131provisional0.417%8
068%
125%
26%
31%
4+0%
Torbjørn HeggemDEFWest Bromwich Albion0.4089provisional0.406%46
067%
126%
25%
31%
4+0%
Krystian BielikDEFWest Bromwich Albion0.6455provisional0.407%12
069%
124%
26%
31%
4+0%
Kaly SèneFWDMiddlesbrough1.4225provisional0.407%7
069%
124%
25%
31%
4+0%
Alex GilbertMIDMiddlesbrough1.0434provisional0.398%10
071%
122%
26%
31%
4+0%
Micah HamiltonFWDMiddlesbrough1.5921provisional0.387%4
071%
122%
25%
31%
4+0%
Adilson MalandaDEFMiddlesbrough0.3889provisional0.376%24
069%
125%
25%
3+1%
Chris MephamDEFWest Bromwich Albion0.4377provisional0.376%22
070%
124%
25%
31%
4+0%
Alfie JonesDEFMiddlesbrough0.3686provisional0.345%21
071%
124%
24%
3+1%
David StrelecFWDMiddlesbrough0.4959provisional0.325%30
073%
122%
24%
3+1%
Marcus ForssFWDMiddlesbrough0.8127provisional0.244%7
080%
116%
23%
3+1%
Joe WildsmithGKWest Bromwich Albion0.1890provisional0.182%17
083%
115%
21%
3+0%
Max O'LearyGKWest Bromwich Albion0.1689provisional0.161%16
086%
113%
2+1%
Sol BrynnGKMiddlesbrough0.1290provisional0.121%55
089%
110%
2+1%

All 42 players shown, ranked by projection. Show fewer ↥

Cards42 playersHighest: Sol Brynn, 0.31 expectedshow

Known defect Prices ANY card — yellow, second yellow or straight red — matching how books settle "to be shown a card". The trends column counts the same thing.

What drives it Fouls first, then how readily the referee reaches for a card. Two officials averaging four cards a match can do it for opposite reasons. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 0.5nDistribution
Sol BrynnGKMiddlesbrough0.3190provisional0.3127%55
073%
123%
24%
3+0%
Joe WildsmithGKWest Bromwich Albion0.3190provisional0.3127%17
073%
123%
24%
3+0%
Callum StylesDEFWest Bromwich Albion0.2480provisional0.2119%72
081%
117%
22%
3+0%
Jayson MolumbyMIDWest Bromwich Albion0.2275provisional0.1817%66
083%
115%
22%
3+0%
Chris MephamDEFWest Bromwich Albion0.2077provisional0.1715%22
085%
114%
2+1%
Adilson MalandaDEFMiddlesbrough0.1789provisional0.1715%24
085%
114%
2+1%
George CampbellDEFWest Bromwich Albion0.1979provisional0.1615%36
085%
114%
2+1%
Krystian BielikDEFWest Bromwich Albion0.2655provisional0.1615%12
085%
113%
21%
3+0%
George EdmundsonDEFMiddlesbrough0.1975provisional0.1514%26
086%
113%
2+1%
Callum BrittainDEFMiddlesbrough0.1589provisional0.1514%44
086%
113%
2+1%

10 of 42 players shown, ranked by projection. Show all 42 →

Saves3 playersHighest: Max O'Leary, 2.78 expectedshow

What drives it Opponent shot volume. A keeper’s own record carries so little that this market shrinks harder than any other on the board. See what has actually happened.

PlayerTeamModel /90Exp. minsProjectedOver 2.5nDistribution
Max O'LearyGKWest Bromwich Albion2.8289provisional2.7851%16
08%
118%
223%
320%
414%
58%
6+8%
Joe WildsmithGKWest Bromwich Albion2.7090provisional2.7049%17
09%
119%
223%
320%
414%
58%
6+7%
Sol BrynnGKMiddlesbrough2.1690provisional2.1636%55
014%
125%
225%
318%
410%
55%
6+3%

1 of 7 markets have no projection for this fixture.